Invoice & document processing
AI reads invoices, purchase orders and contracts from email or PDF, extracts the line items, checks them against your records and posts them to Xero, QuickBooks or your ERP: flagging only the mismatches.
We find the repetitive work moving between your inbox, CRM, spreadsheets and accounting system: then build automation that does it for you, with AI handling the steps that need judgement. Quoted in writing, documented, and yours to own.
Thanks, that’s with us.
A senior engineer reads every enquiry and will reply as soon as they can.
Book a time that suits you, or send a message on WhatsApp.
4.8★
From 944 Fiverr reviews
4.6★
Rated on Clutch
100%
Job Success on Upwork
2020
Building software since
Technologies we build with
The short answer
Workflow automation maps how work really moves through your business, then uses software to do the repetitive parts for you. Rule-based automation carries the predictable steps; AI models handle the ones that need judgement, like reading an invoice or triaging an email. If you are looking for a partner to run the whole programme, see our AI automation agency page.
The difference from a general software agency is the unit of success. We are measured on hours removed and errors avoided, not on a tool shipped. That means we will tell you when a £20-a-month Zapier plan is enough, and when a process is too rare or too messy to be worth automating at all.
SpiderHunts Technologies is a UK-registered company with its registered office in London and the whole team in Lahore. Since 2020 we have built automation for businesses across the UK, USA, Canada and Europe, from single workflows to multi-system operations.
What we automate
Most first projects are one of these. Each is built around your exact tools, data and business rules: not a template that half-fits.
AI reads invoices, purchase orders and contracts from email or PDF, extracts the line items, checks them against your records and posts them to Xero, QuickBooks or your ERP: flagging only the mismatches.
Leads from forms, ads and inboxes are enriched, de-duplicated, scored and assigned to the right rep in HubSpot or Salesforce, with a personalised first reply sent in minutes.
Shared inboxes sorted by intent, urgent requests escalated, routine replies drafted for approval, and follow-up sequences triggered by what customers actually do.
Data pulled from Stripe, Shopify, Google Analytics, your CRM and databases, reconciled and delivered as a dashboard or a Monday-morning summary nobody has to build.
One trigger creates accounts across your systems, sends documents for e-signature, assigns tasks and chases anything outstanding: so no step depends on memory.
Stock, orders, customers and prices kept consistent across your CRM, ERP, ecommerce and accounting tools, with retries and alerts instead of silent failures.
The cost of doing it by hand
Every copy-paste step is a place for errors, a delay for your customer, and a reason to hire before the business really needs to. Here is what changes.
Not sure which process to automate first?
Send us the one your team complains about most. We will tell you what it would cost, what it would save, and whether it is worth doing at all.
Examples
Illustrative examples of what we build, not client results.
Invoices arriving by email are read by a GPT-4o extraction step, matched to purchase orders, sent to a manager in Slack for one-click approval and posted to Xero.
Aim: fewer hours spent keying invoices
A Shopify order triggers a stock check, warehouse notification, courier booking and tracking email, with exceptions such as split shipments routed to a person.
Aim: fulfilment admin out of the daily routine
Inbound enquiries are enriched with company data, scored against the ideal customer profile, assigned to the right rep and answered with a tailored first email.
Aim: faster first replies to inbound leads
Warehouse stock levels update Shopify, Amazon, eBay and the ERP automatically, with a reconciliation report each morning showing anything that drifted.
Aim: no overselling across channels
A signed offer creates accounts in every system the role needs, requests documents via DocuSign, orders equipment and schedules a first-weeks task plan for the new starter and their manager.
Aim: no onboarding step left to memory
Weekly P&L figures from QuickBooks, Stripe and the product database are reconciled, summarised in plain English by an LLM and emailed to the board first thing on Monday.
Aim: weekly board reporting without the spreadsheet work
How we work
Every engagement follows the same path, and you see a working automation on real data before anything touches production.
We map every step, input, exception and tool involved, and put a number on the time it currently costs. The map is yours whether or not you build with us.
Free · 1–3 daysWe decide which steps are rules and which need AI, pick the right platform, and write down test cases for the edge cases we identify. You get a written quote with scope, exclusions and an estimated timeline.
2–5 daysBuilt in staging against your live systems, run in parallel with the manual process until the outputs match, then switched over.
1–6 weeksFailure alerts, a dashboard of what ran, documentation and team training: with an optional support retainer if you want ongoing cover.
At launchClear scope · Regular demos · Full handover
Before you spend anything
We talk a meaningful share of enquiries out of a build. An agency that never says no is not one worth hiring.
Choosing the right tool
Not every workflow needs custom code. We choose the platform on flexibility, running cost and long-term ownership: and often combine them.
| Custom Python + AI | n8n / Make | Zapier | Manual process | |
|---|---|---|---|---|
| Best for | Complex, high-volume or AI-heavy workflows | Mid-complexity, many integrations | Simple 2–3 step tasks | Rare, judgement-only work |
| Handles exceptions | Yes, with AI reasoning and fallbacks | Partly | Limited | Yes, slowly |
| Running cost at volume | Low: pay for compute and API calls | Low (self-hosted n8n) | Rises steeply per task | Staff time |
| AI steps | Native | Supported | Basic | None |
| Build time | 2–6 weeks | 1–2 weeks | Days | n/a |
| You own it | Fully: code in your repo | Yes, if self-hosted | No: platform lock-in | n/a |
Pricing
Bands, not guesses. Every project gets a written quote after the free audit, with scope and exclusions agreed up front.
£2,000–£5,000
1–2 weeks
One process across two or three tools: for example form to CRM to email, or invoice inbox to accounting.
Get a quote →£5,000–£12,000
2–4 weeks
A workflow with AI steps such as document extraction, email triage or classification, plus monitoring and a dashboard.
Get a quote →£12,000–£30,000+
4–8 weeks
Several connected workflows across CRM, ERP, finance and ops, with approvals, audit trail and exception handling.
Get a quote →from £400/mo
Monthly plan
Monitoring, fixes when a vendor changes an API, and a block of hours to extend automations as the business changes.
Get a quote →Running costs such as API usage or n8n hosting are usually tens of pounds a month and are estimated in your quote. Prices exclude VAT.
Technology
Proven, well-documented tools your next developer will recognise. Nothing here locks you to us.
Sectors
Each sector has its own systems, compliance rules and bottlenecks. These are the ones we know best.
FAQ
Straight answers to what buyers ask before they sign.
Still have a question?
Ask us directly. A senior engineer reads every question.
Ask about your projectWorkflow automation uses software to carry out the repetitive steps of a business process, such as moving data between systems, sending approvals or producing reports. We map the process, decide which steps suit fixed rules and which need AI judgement, connect your existing tools, and monitor the automation once it is live.
AI workflow automation is a chain of automated steps where at least one step uses a model to interpret, decide or generate rather than follow a fixed rule. A traditional workflow can move an invoice between systems; AI workflow automation can read the invoice, extract the line items, check them against the purchase order, flag the mismatch and draft the supplier email. The workflow engine handles sequencing and retries; the model handles the judgement.
A single workflow across two or three tools typically costs £2,000–£5,000. An AI-assisted workflow with document extraction or triage runs £5,000–£12,000, and multi-system automation across CRM, ERP and finance is £12,000–£30,000+. We give a written quote, with scope and exclusions agreed up front, after a free process audit, and ongoing running costs are usually tens of pounds a month.
Simple workflows are typically live in one to two weeks. Complex multi-system automations with custom logic and AI steps typically take three to six weeks. We run the automation in parallel with the manual process until the outputs match, which avoids a risky big-bang switchover.
Almost any repetitive, rule-describable task: invoice and document processing, lead capture and routing, CRM updates, email triage and follow-ups, report generation, client and employee onboarding, inventory and order sync, appointment scheduling and approval workflows. The best candidates happen often, follow clear rules and are expensive to get wrong.
Automation executes a process you have already defined: same input, same output, every time. AI produces a judgement about input you could not fully specify in advance, such as unstructured text, images or ambiguous cases. In production the two work together: deterministic automation carries the reliable structure and AI handles the steps where rules would run to hundreds of exceptions.
RPA (robotic process automation) mimics a person clicking through screens and follows fixed rules, which makes it brittle when a screen changes. AI automation connects systems through APIs and adds reasoning, so it can read unstructured data and handle exceptions. We use API integrations first, browser automation only where no API exists, and AI where judgement is needed.
Zapier is right for simple, low-volume tasks. n8n or Make suit mid-complexity workflows with many integrations, and self-hosted n8n keeps running costs low. Custom Python is best for high volume, complex logic or heavy AI use, because per-task pricing stops mattering and you own the code. We recommend the cheapest option that will still work in two years.
Yes. We connect any combination of CRMs, ERPs, accounting software, helpdesks, ecommerce platforms, databases and custom APIs. If a tool has an API we integrate with it directly; if it does not, we use reliable browser automation with monitoring.
No. Every automation ships with documentation, alerts when something fails and a simple view of what ran. Your team can pause or adjust common settings without code, and a support retainer is available if you would rather we manage changes as your processes evolve.
It can be designed to support GDPR requirements, and we build it that way: least-privilege access to each system, secrets in a managed vault, data minimised before it reaches any AI model, EU or UK data residency on request, and enterprise API terms under which providers do not train on your data. We document data flows so your DPO can review them, and contractual terms such as DPAs are agreed per project.
It depends on staff cost, transaction volume and the cost of errors, so there is no honest generic figure. We measure how long the process takes today during the free audit and work through the likely saving and payback with you: before you commit to anything.
Start here
Describe the work your team repeats every week. We will come back with what we would automate, a price range and the estimated payback: free, and with no obligation to build with us.
Thanks, that’s with us.
A senior engineer reads every enquiry and will reply as soon as they can.
Book a time that suits you, or send a message on WhatsApp.